R Course

Jürgen Wilbert

University of Potsdam

10/12/22

Todays goals

Introduction to the idea of Data Science
Getting an overview of the content of this seminar
Installing R on your computer
Installing R-Studio on your computer
Overview of R-Studio

What is R?

A tool for statistical computation (like SPSS, Mplus, STATA …)
A programming language
An idea and a community that shares common ideas about science

Statements

Science should be truthful
Science should be diligent
Science should be transparent
Science should be reproducible
Science should be communicated
Science should be accessible
Science should be open

R (and R studio)

Science should be truthful
Science should be diligent
Science should be transparent
Science should be reproducible
Science should be communicated
Science should be accessible
Science should be open

What R can do

Statistical analyses

Descriptive stats
Modeling
Inferential stats
Manage and organize data
Large data (large scale / big data / EEG / fMRT)
Small data (experimental data / questionnaire data / single-case data)

Present data

Visualize data and results
Keep a notebook of your research and analyses
Write reports, including stats
Write presentations
Write books
Build interactive websites
Connect with various other software and internet tools

Schedule

#	Topic
1	Installation R and R Studio
2	Basics of R, part 1
3	Basics of R, part 2
4	Markdown part 1
5	Markdown part 2
6	Data manipulation with tidyverse part 1
7	Data manipulation with tidyverse part 2
8	Basic statistics
9	Data visualizazion with ggplot2, part 1
10	Data visualizazion with ggplot2, part 2
11	Regression analyses with R
12	Multilevel Regressions

Installation of R and R-Studio

Installing R

R homepage: https://www.r-project.org/

Installing R-Studio

https://www.rstudio.com/products/rstudio/download/

Download RStudio-Desktop for free

R for Data science

R for Data Science is a terrific book and completely free!